Elasticsearch suggester weight5/11/2023 ![]() This advanced search extension is packed with features like Auto-complete search query, CMS page search, accurate and quick search results to enhance customer experience. MageDelight's Elasticsearch® is one of the most advanced search options developed for Magento 2 stores. Therefore you need a highly scalable Magento 2 ElasticSearch Extension. The search in your online store is a very important functionality for the enhanced customer experience of your store. Overview of Magento 2 Elasticsearch Extension You can easily utilize & leverage the benefits of ElasticSearch search engine in your Magento 2 store by integrating a third-party ElasticSearch Extension. In other words, it is basically an advanced, highly scalable, and powerful search engine that helps to return highly-accurate & real-time search results, which leads to providing a great search experience to your customers. Maximize the range of items being searched on you store and provide all the relevant search results by catching similar words of the user input.ĮlasticSearch is an open-source, search and analytics search engine that is built on Apache Lucene and was first launched in 2010. Let your search process pick the most accurate result using the mechanism of Stop Words which in turn increases the efficiency of the search process and search results on your store. It has been developed as per standard Magento coding guideline which makes the customization feasible and easy. Magento 2 Elasticsearch extension code is complete encryption free code. ![]() Get your search results page, navigation and pagination updated in real time, after each keystroke. The search results delivered by the extension are just below the lightning speed. Quick and Fast search result is sQuick search result are like the synonym of Elasticsearch® extension. It helps customer find information or product they are actually looking for. When it comes to accuracy and relevance of the search result, ElasticSearch® leads the competition. IndexRequestBuilders.add(client().prepareIndex(INDEX, TYPE, "" + i).setSource(source)) ĬompletionSuggestionBuilder prefix = pletionSuggestion(FIELD).prefix("sugg") ĪssertSuggestions("foo", prefix, "suggestion9", "suggestion8", "suggestion7", "suggestion6", "suggestion5") ĬompletionSuggestionBuilder geoFilteringPrefix = pletionSuggestion(FIELD).prefix("sugg").contexts(Collections.singletonMap("geo", Collections.singletonList(GeoQuer圜ontext.builder().setGeoPoint(new GeoPoint(geoPoints)).build()))) ĪssertSuggestions("foo", geoFilteringPrefix, "suggestion8", "suggestion6", "suggestion4", "suggestion2", "suggestion0") ĬompletionSuggestionBuilder (.completion.CompletionSuggestionBuilder) 29 ArrayList () 23 IndexRequestBuilder (.IndexRequestBuilder) 23 LinkedHashMap () 16 GeoPoint (.GeoPoint) 16 CompletionMappingBuilder (.CompletionSuggestSearchIT.CompletionMappingBuilder) 16 Categor圜ontextMapping (.圜ontextMapping) 16 ContextMapping (.) 16 GeoContextMapping (.) 16 XContentBuilder (.XContentBuilder) 14 SearchResponse (.SearchResponse) 8 erableAsArrayList (.erableAsArrayList) 8 CompletionSuggestion (.completion.CompletionSuggestion) 4 ntainsString () 3 HashMap () 2 List () 2 ToXContent (.ToXContent) 2 Entry () 1 IndexResponse (.IndexResponse) 1 SearchRequestBuilder (.Important Characteristic of ElasticSearch® Extension XContentBuilder source = jsonBuilder().startObject().startObject(FIELD).field("input", "suggestion" + i).field("weight", i + 1).startObject("contexts").field("geo", (i % 2 = 0) ? geoPoints.getGeohash() : geoPoints.getGeohash()).endObject().endObject().endObject() Public void testMissingContextValue() throws Exception
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